Patents Examined by John B Strege
  • Patent number: 11688054
    Abstract: An auxiliary prediction system is provided to predict reliability of an object after a specific operation is applied to the target object. The auxiliary prediction system includes an image correction module and an analysis module. The image correction module performs an image correction procedure to convert an original image of the target object into a first correction image. The analysis module performs a feature analysis on the first correction image through an artificial intelligence model that has been trained, so as to predict whether the target object has a defect or not after the specific operation.
    Type: Grant
    Filed: September 13, 2021
    Date of Patent: June 27, 2023
    Inventors: King-Ning Tu, Chih Chen, Yu-Chieh Lo, Nan-Yow Chen, Kai-Cheng Shie
  • Patent number: 11688170
    Abstract: This disclosure is directed to techniques in which a first user in an environment scans visual indicia associated with an item, such as a barcode, before handing the item to a second user. One or more computing devices may receive an indication of the scan, retrieve image data of the interaction from a camera within the environment, identify the user that received the item, and update a virtual cart associated with the second user to indicate addition of the item.
    Type: Grant
    Filed: November 30, 2020
    Date of Patent: June 27, 2023
    Assignee: Amazon Technologies, Inc.
    Inventors: Ivan Stankovic, Joseph M Alyea, Jiajun Zhao, Kartik Muktinutalapati, Waqas Ahmed, Dilip Kumar, Danny Guan, Nishitkumar Ashokkumar Desai, Longlong Zhu
  • Patent number: 11682229
    Abstract: An electronic device is provided that includes a display in which a fingerprint recognition area is formed and which includes a display pixel layer, and a rear panel, formed under the display, having a first hole. The electronic device also includes a bracket, disposed under the rear panel, having a sensor accommodating area corresponding to a fingerprint sensor. The electronic device additionally includes the fingerprint sensor disposed under the display pixel layer and adapted to acquire image information to be used for authentication of a fingerprint using at least partially light radiated from the display pixel layer and reflected by the object. The sensor accommodating area has a second hole passing through the bracket, and the fingerprint sensor is disposed in the sensor accommodating area such that an air gap between the display and the fingerprint sensor is formed at least by a portion of the second hole.
    Type: Grant
    Filed: October 29, 2020
    Date of Patent: June 20, 2023
    Assignee: Samsung Electronics Co., Ltd
    Inventors: Kyung Hoon Song, Kwang Sub Lee, Gyu Sang Cho, Yun Jang Jin, Se Young Jang, Chi Hyun Cho
  • Patent number: 11679730
    Abstract: A method for identifying occupant-specific settings for a vehicle comprises detecting a vehicle occupant; collecting biometric occupant data of the detected vehicle occupant; assembling a descriptor based on at least part of the collected occupant data; storing the descriptor in a database; and updating a cluster of descriptors in the database based on the assembled descriptor, wherein descriptors grouped in the cluster are close to each other, and wherein the cluster corresponds to the detected vehicle occupant. Based on the cluster and assembled descriptor can be assigned to the cluster, and vehicle setting data can be calculated that has been stored in association with the cluster. The vehicle setting data corresponds to occupant-specific settings for the vehicle. A vehicle comprises a system capable of performing such method.
    Type: Grant
    Filed: November 27, 2019
    Date of Patent: June 20, 2023
    Assignee: E.SOLUTIONS GMBH
    Inventors: Thomas Köhler, Matthias Stock
  • Patent number: 11682108
    Abstract: This disclosure relates to various implementations that dynamically adjust one or more shallow depth of field (SDOF) parameters based on a designated, artificial aperture value. The implementations obtain a designated, artificial aperture value that modifies an initial aperture value for an image frame. The designated, artificial aperture value generates a determined amount of synthetically-produced blur within the image frame. The implementations determine an aperture adjustment factor based on the designated, artificial aperture value in relation to a default so-called “tuning aperture value” (for which the camera's operations may have been optimized). The implementations may then modify, based on the aperture adjustment factor, one or more SDOF parameters for an SDOF operation, which may, e.g., be configured to render a determined amount of synthetic bokeh within the image frame.
    Type: Grant
    Filed: September 13, 2021
    Date of Patent: June 20, 2023
    Assignee: Apple Inc.
    Inventors: Richard D. Seely, Alexandre Naaman, Patrick Shehane, Andre Souza Dos Santos, Behkish J. Manzari
  • Patent number: 11669979
    Abstract: A camera system comprises an image capturing device, object detection module, object tracking module, and match classifier. The object detection module receives image data and detects objects appearing in one or more of the images. The object tracking module temporally associates instances of detected objects, each of which has a signature representing features of the detected object. The match classifier matches object instances by analyzing data derived from the signatures. The match classifier determines whether the signatures match.
    Type: Grant
    Filed: October 7, 2021
    Date of Patent: June 6, 2023
    Inventors: Mahesh Saptharishi, Dimitri A. Lisin
  • Patent number: 11669945
    Abstract: Techniques are described for optimizing deep learning model performance using image harmonization as a pre-processing step. According to an embodiment, a method comprises decomposing, by a system operatively coupled to a processor, an input image into sub-images. The method further comprises harmonizing the sub-images with corresponding reference sub-images of at least one reference image based on two or more different statistical values respectively calculated for the sub-images and the corresponding reference-sub images, resulting in transformation of the sub-images into modified sub-images images. In some implementations, the modified sub-images can be combined into a harmonized image having a more similar appearance to the at least one reference image relative to the input image.
    Type: Grant
    Filed: April 27, 2020
    Date of Patent: June 6, 2023
    Inventors: Tao Tan, Pál Tegzes, Levente Imre Török, Lehel Ferenczi, Gopal B. Avinash, László Ruskó, Gireesha Chinthamani Rao, Khaled Younis, Soumya Ghose
  • Patent number: 11670066
    Abstract: An example embodiment includes: a determination unit that, based on an image including an eye of a recognition subject, determines whether or not a colored contact lens is worn; and a matching unit that, when it is determined by the determination unit that the colored contact lens is worn, performs matching of the iris by using a feature amount extracted from a region excluding a predetermined range including an outer circumference of the iris out of a region of the iris included in the image.
    Type: Grant
    Filed: February 23, 2022
    Date of Patent: June 6, 2023
    Inventors: Mamoru Inoue, Jinit Bhatt
  • Patent number: 11663654
    Abstract: A computer system can implement a network service by receiving, from a computing device of a user, image data comprising an image of a record. The computer system can then execute image processing logic to determine a set of information items from the image. The computer system may then execute augmentation logic to process the record by (i) accessing a transaction database to identify a plurality of transactions made by the user, (ii) identifying a matching transaction from the plurality of transactions that pertains to the record, and (iii) resolving the set of information items using the matching transaction.
    Type: Grant
    Filed: January 2, 2020
    Date of Patent: May 30, 2023
    Assignee: Expensify, Inc.
    Inventors: David M. Barrett, Kevin Michael Kuchta
  • Patent number: 11663710
    Abstract: The image processing device includes an imaging unit that images a subject and a distance map acquisition unit that acquires information regarding a distance distribution of the subject as map data. The distance map acquisition unit acquires map data with an image deviation amount or a defocused amount related to a captured image or distance map data in conformity with a TOF scheme or an imaging plane phase difference detection scheme of using a pupil division type image sensor. An image processing unit generates data of a texture image in which a low-frequency component of a captured image is inhibited and combines the data of the texture image and the map data acquired by the distance map acquisition unit to generate image data in which a distance distribution of a subject is expressed.
    Type: Grant
    Filed: September 10, 2020
    Date of Patent: May 30, 2023
    Inventor: Masaaki Matsuoka
  • Patent number: 11657631
    Abstract: A computer-implemented method for extracting information from a document, for example an official document, is disclosed. The method comprises acquiring an input image comprising a document portion; performing image segmentation on the input image to form a binary input image that distinguishes the document portion from the remaining portion of the input image; estimating a first image transform to align the binary input image to a binary template image, using the first image transform on the input image to form an intermediate image; estimating a second image transform to align the intermediate image to a template image; using the second image transform on the intermediate image to form an output image; and extracting a field from the output image using a predetermined field of the template image.
    Type: Grant
    Filed: April 28, 2021
    Date of Patent: May 23, 2023
    Assignee: Onfido Ltd.
    Inventors: Christos Sagonas, Karolina Dabkowska, Zhiyuan Shi, Edward Fieri Soler, Mohan Mahadevan, Iona Grace Vincent, Luca Peric, Alessandro Lenzi, Alvaro Fernando Lara, James Stonehill
  • Patent number: 11648968
    Abstract: A system for detection and identification of objects and obstacles near, between or on railway comprise several forward-looking imagers adapted to cover each different range forward and preferably to be sensitive each to different wavelength of radiation, including visible light, LWIR, and SWIR. The substantially homogeneous temperature along the rail the image of which is included in an imager frame assists in identifying and distinguishing the rail from the background. Image processing is applied to define living creature in the image frame and to distinguish from a man-made object based on temperature of the body. Electro optic sensors (e.g. thermal infrared imaging sensor and visible band imaging sensor) are used to survey and monitor railway scenes in real time.
    Type: Grant
    Filed: May 31, 2021
    Date of Patent: May 16, 2023
    Assignee: RAIL VISION LTD
    Inventors: Shahar Hania, Avraham Ram Guissin, Sharon Bason
  • Patent number: 11651268
    Abstract: According to one embodiment, a model update support system supports an update of a first model trained using a training data group. The training data group includes a plurality of labeled data and includes a plurality of labels respectively labeling the plurality of labeled data. The system includes a processor. The processor is configured to output first information or second information based on a classification certainty and a plurality of similarities. The classification certainty is calculated using the first model and indicates a sureness of a classification of first data. The plurality of similarities respectively indicates likenesses between the first data and the plurality of labeled data. The first information indicates that the training of the first model is insufficient. The second information indicates that one of the plurality of labels is inappropriate.
    Type: Grant
    Filed: February 27, 2019
    Date of Patent: May 16, 2023
    Assignee: Kabushiki Kaisha Toshiba
    Inventor: Takahiro Takimoto
  • Patent number: 11640668
    Abstract: Systems and techniques are described herein for performing optical flow estimation for one or more frames. For example, a process can include determining an optical flow prediction associated with a plurality of frames. The process can include determining a position of at least one feature associated with a first frame and determining, based on the position of the at least one feature in the first frame and the optical flow prediction, a position estimate of a search area for searching for the at least one feature in a second frame. The process can include determining, from within the search area, a position of the at least one feature in the second frame.
    Type: Grant
    Filed: June 10, 2021
    Date of Patent: May 2, 2023
    Assignee: QUALCOMM Incorporated
    Inventors: Jamie Menjay Lin, Fatih Murat Porikli
  • Patent number: 11636281
    Abstract: Provided is a method for developing a geographic agnostic machine learning model. The method may include selecting transaction data associated with payment transactions conducted by a first plurality of users, wherein the transaction data includes first transaction data associated with payment transactions conducted by a first plurality of users in a first geographic area and second transaction data associated with payment transactions conducted by a second plurality of users in a second geographic area, formatting the first transaction data associated with payment transactions conducted by the first plurality of users in the first geographic area and the second transaction data associated with payment transactions conducted by the second plurality of users in the second geographic area to provide training data, and generating the geographic agnostic machine learning model using the training data. A system and computer program product are also disclosed.
    Type: Grant
    Filed: April 24, 2019
    Date of Patent: April 25, 2023
    Assignee: Visa International Service Association
    Inventors: Vivek Narayanan Nair, Anubhav Narang, Lubna Akhtar, Dhirender Singh Rathore, Ayush Manohar Babu Khokale, Keyuan Wu
  • Patent number: 11627913
    Abstract: An example method includes obtaining an image of a lead implanted in a patient, the lead including one or more electrodes positioned along a longitudinal axis of the lead and a plurality of orientation markers; determining, in the image, respective locations of the electrodes and respective locations of the orientation markers; obtaining a template model corresponding to the lead; determining a transform between the determined locations of the one or more electrodes and the plurality of orientation markers and locations of corresponding electrodes and orientation markers in the template model; and determining the rotational orientation of the lead based on the transform.
    Type: Grant
    Filed: April 25, 2019
    Date of Patent: April 18, 2023
    Assignee: MEDTRONIC, INC.
    Inventors: Shai Ronen, Andre D. A. Souza, Jiashu Li, Patrick A. Helm
  • Patent number: 11625918
    Abstract: An object tracking system includes a sensor and a tracking system. The sensor is configured to capture a frame of at least a portion of a physical space within a global plane for a space. The tracking system is configured to receive the frame, to detect an object within a zone of the frame, and to determine a pixel location for the object. The tracking system is further configured to identify a zone of the physical structure based on the pixel location, to identify an item based on the identified zone.
    Type: Grant
    Filed: July 6, 2021
    Date of Patent: April 11, 2023
    Assignee: 7-ELEVEN, INC.
    Inventors: Sailesh Bharathwaaj Krishnamurthy, Shahmeer Ali Mirza, Sarath Vakacharla, Trang Nghia Nguyen, Crystal Maung, Deepanjan Paul
  • Patent number: 11622812
    Abstract: Systems and methods are disclosed for correcting for artificial deformations in anatomical modeling. One method includes obtaining an anatomic model; obtaining information indicating a presence of an artificial deformation of the anatomic model; identifying a portion of the anatomic model associated with the artificial deformation; estimating a non-deformed local area corresponding to the portion of the anatomic model; and modifying the portion of the anatomic model associated with the artificial deformation, based on the estimated non-deformed local area.
    Type: Grant
    Filed: November 24, 2021
    Date of Patent: April 11, 2023
    Assignee: HeartFlow, Inc.
    Inventors: Leo Grady, Michiel Schaap, Sophie Khem, Sarah Wilkes, Ying Bai
  • Patent number: 11621060
    Abstract: The system and method for biometric safe blood donor certification and geo-location system provides a safe blood donor biometric certification and geolocation tracking system that is an efficient, accurate, and portable device to acquire biometric data to authenticate identity of an individual and link the biometric identity to the blood test samples and results. This technology can unequivocally identify the person with their blood profile. The technology can track location of potential donor individuals with geo-location Global Positioning Satellite sensors and alert these individuals when a nearby patient requests their blood type. All eligible blood donors can be alerted about the opportunity to respond and accept the invitation for blood donation. Those who donate blood are removed from the eligibility list until they can safely donate again. This system eliminates the need for complex equipment and facilities to store donated blood for extended periods and eliminates waste of unused blood.
    Type: Grant
    Filed: October 30, 2019
    Date of Patent: April 4, 2023
    Assignee: PEER Technologies PLLC
    Inventors: Sohail K. Mirza, Atiyya S. Mirza
  • Patent number: 11615555
    Abstract: A method of generating a training data set for training an image matting machine learning model includes receiving a plurality of foreground images, generating a plurality of composited foreground images by compositing randomly selected foreground images from the plurality of foreground images, and generating a plurality of training images by compositing each composited foreground image with a randomly selected background image. The training data set includes the plurality of training images.
    Type: Grant
    Filed: April 9, 2021
    Date of Patent: March 28, 2023
    Inventors: Tunc Ozan Aydin, Ahmet Cengiz Öztireli, Jingwei Tang, Yagiz Aksoy